Histogram-based segmentation in a perceptually uniform color space

1 January 1998

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing

Vol. 7 (9) , 1354-1358
https://doi.org/10.1109/83.709666

Abstract

In this work, we present a segmentation algorithm for color images that uses the watershed algorithm to segment either the two-dimensional (2-D) or the three-dimensional (3-D) color histogram of an image. For compliance with the way humans perceive color, this segmentation has to take place in a perceptually uniform color space like the Luv space. To avoid oversegmentation, the watershed algorithm has to be applied to a smoothed histogram.

Keywords

This publication has 2 references indexed in Scilit:

Color images' segmentation using scale space filter and markov random field
Pattern Recognition, 1992
Segmenting images using normalized color
IEEE Transactions on Systems, Man, and Cybernetics, 1992